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tarea-proyecto-mesa

https://github.com/kicho-fops/tarea-proyecto-mesa

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    DOI references
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    Academic publication links
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    Scientific vocabulary similarity
    Low similarity (1.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Kicho-Fops
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 2.22 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

README.md

This is a repository for a homework using mesa, if you want to know more about this framework feel free to go to their official repo

https://github.com/projectmesa/mesa

for this homework, im working in the agent, helpers and model folders, its a mess but this is what my professor taught us

Owner

  • Name: Kicho
  • Login: Kicho-Fops
  • Kind: user

Citation (CITATION.bib) 

@InProceedings{python-mesa-2020,
author="Kazil, Jackie
and Masad, David
and Crooks, Andrew",
editor="Thomson, Robert
and Bisgin, Halil
and Dancy, Christopher
and Hyder, Ayaz
and Hussain, Muhammad",
title="Utilizing Python for Agent-Based Modeling: The Mesa Framework",
booktitle="Social, Cultural, and Behavioral Modeling",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="308--317",
abstract="Mesa is an agent-based modeling framework written in Python. Originally started in 2013, it was created to be the go-to tool in for researchers wishing to build agent-based models with Python. Within this paper we present Mesa's design goals, along with its underlying architecture. This includes its core components: 1) the model (Model, Agent, Schedule, and Space), 2) analysis (Data Collector and Batch Runner) and the visualization (Visualization Server and Visualization Browser Page). We then discuss how agent-based models can be created in Mesa. This is followed by a discussion of applications and extensions by other researchers to demonstrate how Mesa design is decoupled and extensible and thus creating the opportunity for a larger decentralized ecosystem of packages that people can share and reuse for their own needs. Finally, the paper concludes with a summary and discussion of future development areas for Mesa.",
isbn="978-3-030-61255-9"
}

GitHub Events

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  • Push event: 1
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Dependencies

Dockerfile docker
  • python bookworm build
docker-compose.yml docker
  • mesa dev
binder/environment.yml pypi
  • matplotlib *
  • mesa ==3.0.0b1
  • nbgitpuller *
  • pandas *
  • seaborn *
  • solara *
pyproject.toml pypi
  • numpy *
  • pandas *
  • tqdm *